k-anonymity

biblio

Algorithm for k-anonymity based on ball-tree and projection area density partition

Submitted by grigby1 on Thu, 08/13/2020 - 5:34pm

Loss measurement
usability
UCI
trees (mathematics)
tree data structures
Resiliency
resilience
pubcrawl
projection area density partition
privacy
Partitioning algorithms
microdata publishing
Metrics
Adult dataset
kd-tree
k-anonymity algorithm
k-anonymity
information science
individual privacy protection
Human behavior
Gotrack dataset
data privacy
composability
Classification algorithms
ball-tree
anonymity

biblio

Trajectory Protection Scheme Based on Fog Computing and K-anonymity in IoT

Submitted by grigby1 on Thu, 08/13/2020 - 5:33pm

maximum entropy methods
probability
anonymity
Trajectory
k-anonymity
cloud computing technology
k-anonymity-based dummy generation algorithms
location based services
location-based services
maximum entropy
Metrics
offline trajectory data protection
offline trajectory protection
online trajectory protection
real-time trajectory privacy protection
time-dependent query probability
trajectory protection
trajectory protection scheme
trajectory publication
transition probability
Cloud Computing
security of data
Servers
IoT
pubcrawl
Human behavior
resilience
Resiliency
security
privacy
Internet of Things
Computational modeling
Entropy
composability
mobile computing
edge computing
Fog computing
Data protection
Security analysis

biblio

Trajectory Anonymity Based on Quadratic Anonymity

Submitted by grigby1 on Thu, 08/13/2020 - 5:33pm

adjacent anonymous area
trajectory anonymous algorithm
trajectory anonymity publishing
synchronous trajectory data
Synchronous trajectory
Sensitive region
quadratic anonymity
privacy information
original Regional anonymity
original location
Location mappings
location mapping
Location area division
K-anonymous
forged location
current sensitive region
Servers
k-anonymity
Trajectory
anonymity
Euclidean distance
Metrics
Perturbation methods
Data protection
computer science
composability
data privacy
privacy
Resiliency
resilience
Human behavior
pubcrawl

biblio

Test-Driven Anonymization for Artificial Intelligence

Submitted by grigby1 on Thu, 08/13/2020 - 5:07pm

anonymization efforts
artificial intelligence security
test-driven anonymization approach
Software Testing
regulatory requirements
Privacy Protections
nonfunctional quality
k-anonymity
internal requirements
Insurance
functional suitability
functional quality
classification AIs
artificial intelligence tools
anonymized data
anonymization techniques
tools
anonymization
AI context
artificial intelligence technique
testing
Data protection
pattern classification
Production
health care
data privacy
Data models
pubcrawl
Artificial Intelligence
Predictive models
security of data

biblio

A Scalable (\$\textbackslashtextbackslashalpha, k\$)-Anonymization Approach using MapReduce for Privacy Preserving Big Data Publishing

Submitted by grigby1 on Fri, 08/07/2020 - 3:47pm

big data privacy
Velocity of data
timely anonymization
scenarios efficient anonymization
Scalable k-Anonymization approach
Scalable k-Anonymization (SKA)
scalable anonymization approach
Publishing
privacy preserving big data publishing
privacy preserving approaches scalability
MapReduce based Anonymization (MRA)
k-anonymity
data publishing approaches
Credit cards
security of data
anonymity
AI
Government
Scalability
Big Data
privacy issues
privacy
data privacy
Resiliency
resilience
Human Factors
Human behavior
pubcrawl

biblio

Privacy Preserving Big Data Publication On Cloud Using Mondrian Anonymization Techniques and Deep Neural Networks

Submitted by aekwall on Mon, 07/13/2020 - 11:07am

privacy
k-anonymity
machine learning
Mondrian anonymization techniques
Mondrian based k-anonymity approach
neural nets
Neural networks
personal data
personally identifiable information
predominant factor
high-dimensional data deep neural network based framework
privacy breach
privacy preservation
privacy preserving big data publication
privacy-preservation
protection
Resiliency
security
user privacy in the cloud
data analysis
pubcrawl
Human Factors
resilience
Scalability
Metrics
Big Data
Big Data Analytics
Cloud Computing
compromising privacy
big data privacy
data management
Data models
data privacy
data utility
Databases
deep neural networks
differential privacy
DNN

biblio

Differential Inference Testing: A Practical Approach to Evaluate Sanitizations of Datasets

Submitted by grigby1 on Thu, 07/09/2020 - 1:57pm

Predictive models
testing
Sociology
sensitive information
sensitive attribute
Scalability
sanitized data
sanitization techniques
sanitization
Resiliency
resilience
pubcrawl
privacy models
privacy
Compositionality
personal information
machine learning
l-Diversity
k-anonymity
Inferences
inference mechanisms
Human Factors
Human behavior
differential privacy
differential inference testing
Data Sanitization
data privacy
data deletion

biblio

An Improved Privacy Protection Method Based on k-degree Anonymity in Social Network

Submitted by aekwall on Mon, 04/20/2020 - 10:31am

Metrics
structural modifications
social networking (online)
social network
Publishing
pubcrawl
privacy protection
privacy models and measurement
privacy
pattern clustering
original social network
node degrees
network theory (graphs)
network structure stable
network nodes
anonymity
Mathematical model
Loss measurement
k-subgraph method
k-degree anonymous graph
k-degree anonymity
k-anonymity
information losses
information loss
improved privacy protection method
graph theory
data privacy
computer security
Clustering algorithms
anonymity models

biblio

An Efficient Location Privacy Preserving Model based on Geohash

Submitted by aekwall on Mon, 04/20/2020 - 10:31am

Geohash geographic information
privacy models and measurement
user privacy security
Privacy protection model
Location-based service
location-aware mobile devices
LBS privacy protection model
k-anonymity
great hidden trouble
great convenience
data privacy
Geohash coding
efficient location privacy preserving model
location based services
location-based services
query processing
Metrics
pubcrawl
mobile computing

biblio

Optimized Data de-Identification Using Multidimensional k-Anonymity

Submitted by aekwall on Mon, 04/20/2020 - 10:24am

data quality
privacy models and measurement
privacy protection mechanism
privacy preserving
privacy leak risk
priority weight-adjusted method
personal privacy
personal information
optimized multidimensional method
multidimensional k-anonymity
mean difference recommending tree method
MDR tree method
k-anonymity
information loss rate
globalized knowledge economy
de-identification
Big Data
data authenticity preservation
big data analysis
anonymization-based de-identification method
information loss
greedy algorithms
Big Data Analytics
Numerical models
data privacy
Measurement
data analysis
Data protection
Metrics
privacy
pubcrawl
Data models

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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

k-anonymity

Algorithm for k-anonymity based on ball-tree and projection area density partition

Trajectory Protection Scheme Based on Fog Computing and K-anonymity in IoT

Trajectory Anonymity Based on Quadratic Anonymity

Test-Driven Anonymization for Artificial Intelligence

A Scalable (\$\textbackslashtextbackslashalpha, k\$)-Anonymization Approach using MapReduce for Privacy Preserving Big Data Publishing

Privacy Preserving Big Data Publication On Cloud Using Mondrian Anonymization Techniques and Deep Neural Networks

Differential Inference Testing: A Practical Approach to Evaluate Sanitizations of Datasets

An Improved Privacy Protection Method Based on k-degree Anonymity in Social Network

An Efficient Location Privacy Preserving Model based on Geohash

Optimized Data de-Identification Using Multidimensional k-Anonymity